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Threats from the Dark: A Review over Dark Web Investigation Research for Cyber Threat Intelligence
Author(s) -
Randa Basheer,
Bassel Alkhatib
Publication year - 2021
Publication title -
journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 23
eISSN - 2090-715X
pISSN - 2090-7141
DOI - 10.1155/2021/1302999
Subject(s) - deep web , cybercrime , computer science , great rift , field (mathematics) , web intelligence , data science , world wide web , computer security , web development , web page , the internet , physics , mathematics , astronomy , pure mathematics
From proactive detection of cyberattacks to the identification of key actors, analyzing contents of the Dark Web plays a significant role in deterring cybercrimes and understanding criminal minds. Researching in the Dark Web proved to be an essential step in fighting cybercrime, whether with a standalone investigation of the Dark Web solely or an integrated one that includes contents from the Surface Web and the Deep Web. In this review, we probe recent studies in the field of analyzing Dark Web content for Cyber Threat Intelligence (CTI), introducing a comprehensive analysis of their techniques, methods, tools, approaches, and results, and discussing their possible limitations. In this review, we demonstrate the significance of studying the contents of different platforms on the Dark Web, leading new researchers through state-of-the-art methodologies. Furthermore, we discuss the technical challenges, ethical considerations, and future directions in the domain.

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